EP0789310A2 - Intelligentes CAD-Verfahren, das Leistungswerte von Produkten miteinbezieht - Google Patents

Intelligentes CAD-Verfahren, das Leistungswerte von Produkten miteinbezieht Download PDF

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Publication number
EP0789310A2
EP0789310A2 EP96306929A EP96306929A EP0789310A2 EP 0789310 A2 EP0789310 A2 EP 0789310A2 EP 96306929 A EP96306929 A EP 96306929A EP 96306929 A EP96306929 A EP 96306929A EP 0789310 A2 EP0789310 A2 EP 0789310A2
Authority
EP
European Patent Office
Prior art keywords
design
knowledge
inputting
instructions
part design
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP96306929A
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English (en)
French (fr)
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EP0789310A3 (de
EP0789310B1 (de
Inventor
Gregory A. Kaepp
Beverly J. Becker
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ford Werke GmbH
Ford France SA
Ford Motor Co Ltd
Ford Motor Co
Original Assignee
Ford Werke GmbH
Ford France SA
Ford Motor Co Ltd
Ford Motor Co
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Publication date
Application filed by Ford Werke GmbH, Ford France SA, Ford Motor Co Ltd, Ford Motor Co filed Critical Ford Werke GmbH
Publication of EP0789310A2 publication Critical patent/EP0789310A2/de
Publication of EP0789310A3 publication Critical patent/EP0789310A3/xx
Application granted granted Critical
Publication of EP0789310B1 publication Critical patent/EP0789310B1/de
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/15—Vehicle, aircraft or watercraft design

Definitions

  • This invention relates to computer aided design, and more particularly to computer systems that embed product performance knowledge as a rule in computer aided design software programming.
  • a method of evolving and dynamically adapting a computer aided part design having unknown initial form comprising: (a) gathering data consisting of at least one of (i) human generated information and techniques, and (ii) machine generated information and rules; (b) processing the gathered data by instructions to produce processed knowledge containing script without a part design; (c) iteratively and recursively editing the processed knowledge to continuously adapt and improve the script to form an executable part design by inputting into the editing process at least one of (i) recently learned data, (ii) associative techniques, relations and features, and (iii) knowledge-based rules and instructions; and (d) inputting the history of step (c) into processed knowledge, such inputting creating captured improvement criteria that is iteratively and recursively fed back into either the recursive editing process or into the processing of step (b) to effect evolvement of an executable design form.
  • a method embodying the invention embeds product performance knowledge as a rule or as geometric parameters into a design and development process software program that not only stores knowledge from the development process but provides for two-way associativity influencing the design.
  • One or more of: rules, parameters, associativity, relations, and knowledge generated by the process are used to revise and improve an unformed design as it is morphically developed.
  • An intelligent CAD process is provided that is capable of morphically changing the design shape of a part based upon its relation to other parts and other external influences.
  • unorganised human data 10 unorganised machine data 11 and previously stored data 12 are put into a computer gathering process 13; the gathering process calculates, makes calculations, observations and measures to provide organised knowledge 14.
  • the human data 10 would be a designer's instructions based upon skill and prior work steps performed by the designer.
  • the stored data 12 would be previous prints, drawings, layouts and geometric data generated by algorithms.
  • the stored data may also include features: rounds, fillets, bosses, slots, customising aspects, or parametric (indefinite) dimensions.
  • the organised knowledge 14 can be a three-dimensional data file having a viewable geometry displayable on a raster or vector device.
  • the invention not only goes through the gathering step 13 as described in Figure 1, but additionally goes through an organising step 9 that provides script as a deliverable along with data 16 that together define an inchoate design.
  • the script is an executable set of instructions created by the organising step.
  • Such script and/or data is then subjected to an iterative editing process 17 (manual or machine) using special stored information 18a or 18b to affect the inchoate design and eventually produce an executable 19 in the form of a viewable geometry of the part as well as new script.
  • the editing process 17 may take place in several subprocesses 20, 21 ,22, etc., each dedicated to a specific function that responds to new current information on such function such as illustrated in figure 3.
  • the example of a part to be designed utilises a cantilevered beam 23 supported on a fixed surface 24 prescribed to support a load 25 with beam deflection not to exceed X.
  • the beam length is to be no less than L; the diameter is to be no greater than D, and the material is aluminium (an environmental consideration).
  • the beam is not to contact part B and the clearance Y is not to be encroached.
  • Loads may be associated (related) to an arbitrary set of geometric entities possessing parameters and features; in the case of the beam this will be a set of points, lines, surfaces, etc. and the sets will contain subsets.
  • the broad steps involve (30) creating an initial front bumper design, (31) optimising the initial front bumper design (32) generating the protection zone layout, (33) building and testing prototypes, and (34) correlating finite element analysis results to the physical tests.
  • (30) creating an initial front bumper design (31) optimising the initial front bumper design (32) generating the protection zone layout, (33) building and testing prototypes, and (34) correlating finite element analysis results to the physical tests.
  • Subprocesses 1.1 and 1.2 respectively comprise determining the initial vehicle package constraints (35) and determining the initial bumper system designs (36). This will require considerable input of human generated information and techniques, as well as machine generated information and rules. For the bumper design development this will constitute cost and weight targets, styling requirements such as whether the bumper will have a certain type of curved shape and any styling theme facia for packaging constraints, radiator information that may require cooling slots in the bumper for the air conditioning condenser as a constraint, same information that may require the bumper to be capable of sustaining multiple 5 mph collisions as well as 30 mph crash or not violate a mandated approach angle, and other engine or package constraints, such as not violating an overall vehicle length.
  • the inputted or gathered data is then processed to generate a bumper system design 37.
  • the data is processed to produce processed knowledge containing script without a part design. This may involve calculating the maximum allowable packaging volume in the car position (38), see figure 5A, using input data as to performance requirements and vehicle rail span. This calculation subprocess may be broken down, as shown in figure 5B, into determining the height of the beam in car position (39) and calculating the width of the bumper system (40); the height width decision is fed along with styling and determining a tentative design 42 for the bumper system at the centreline and frame sections which renders a maximum allowable depth of bumper system in the car position.
  • Step 43 is expanded upon in figure 5C and involves recursively editing by associative techniques, relations and features, such as the step 44 for determining the constraints on the beam geometry due to packaging and pendulum impact dimensions, using bumper system packaging information and impact barrier test requirements for beam height, depth and sweep.
  • the processed information is edited by using input data that is knowledge-based rules and instructions, such as from a library 46, and which rules and instructions may incorporate recently learned data.
  • a selection and range 45 is checked to support the required dimensions (48). Then the range of acceptable values for each topological parameter is calculated (49) to produce a unique section 50 with associated manufacturing process and material with a defined range of acceptable topological parameters.
  • the unique section 50 is then tested by rules and instructions for every possible energy absorber and rail support, first as to the smallest section (51) and then as to the largest section (52).
  • the testing of the selected beam section is expanded upon in figure 5D.
  • a selection of the energy absorber is made from library (53) and then calculation of the required geometry and dimensions of the energy absorber is made (54).
  • the results are checked to see if energy absorbed supports required dimensions. If the results fail, a new energy absorber is selected and this subprocess recursively carried out. If the results pass, a rail support is selected (55) and, along with beam section information, performance information, and acceptable range of beam sweep values, is checked as to structural integrity of every combination of energy absorber and rail support (56). This is lumped mass analysis to produce small section result 57.
  • step 5C The same procedure in figure 5C is followed for the largest section (52) if necessary and the passed result (58), along with result 57, is fed to step 59 (figure 5A) for optimising, if necessary, the section design based on input of optimisation strategy rules and information 60.
  • step 59 figure 5A
  • optimised bumper system designs is accumulated.
  • the feasible bumper system designs 61, including energy absorber is then analysed as to meeting associated cost and weight (62) and then tested as to whether the objectives have been met (63). If not, a determination is made as to whether styling and/or vehicle constraints can be relaxed (64). If yes, the modified information is sent back for recursive use in the process; if not, the design is deemed not meeting the targets. This completes step 30 of figure 5.
  • the other basic steps 31-34 follow in the order listed.
  • the human interactive design process of the Intelligent CAD system triggers machine driven design subprocesses.
  • the method may spawn one or more machine driven (non-human) processes involving calculation of the design worthiness, such as an initiation of an analysis (finite element method of structural analysis) for simulation of a 5 mph pendulum impact test; concurrently, a spawned machine driven process may generate another finite element analysis for the purpose of assessing 30 mph crash worthiness.
  • a design optimisation executable may be spawned along with a mould flow analysis and a fatigue analysis while, at the same time, another executable is calculating material, piece and assembly cost. All these subprocesses (and more) may be initiated sequentially or concurrently and generate design knowledge never before available. Such knowledge is fed back, not only to refine the evolving design, but to add to the data base of accumulated knowledge which, in effect, becomes an ever increasing repository of bookshelf knowledge. This knowledge may be retrieved for future designs.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Automobile Manufacture Line, Endless Track Vehicle, Trailer (AREA)
  • Processing Or Creating Images (AREA)
EP96306929A 1995-10-04 1996-09-24 Intelligentes CAD-Verfahren, das Leistungswerte von Produkten miteinbezieht Expired - Lifetime EP0789310B1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US538925 1983-10-04
US08/538,925 US5748943A (en) 1995-10-04 1995-10-04 Intelligent CAD process

Publications (3)

Publication Number Publication Date
EP0789310A2 true EP0789310A2 (de) 1997-08-13
EP0789310A3 EP0789310A3 (de) 1997-09-17
EP0789310B1 EP0789310B1 (de) 2001-05-30

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EP96306929A Expired - Lifetime EP0789310B1 (de) 1995-10-04 1996-09-24 Intelligentes CAD-Verfahren, das Leistungswerte von Produkten miteinbezieht

Country Status (4)

Country Link
US (1) US5748943A (de)
EP (1) EP0789310B1 (de)
CA (1) CA2186181A1 (de)
DE (1) DE69613095T2 (de)

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EP0985992A2 (de) * 1998-09-08 2000-03-15 Ford Global Technologies, Inc. Gleichzeitige Herstellung und Produktentwurf integriert mit Wissensnetzwerken
WO2001052119A1 (en) * 2000-01-13 2001-07-19 Fabsec Limited Method of designing a structural element
ES2234350A1 (es) * 2001-05-23 2005-06-16 Honda Giken Kogyo Kabushiki Kaisha Sistema cad tridimensional y sistema de calculo del costo de piezas.
US7596478B2 (en) 2001-09-26 2009-09-29 Fabsec Ltd. Method of forming a fire resistant structural beam

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US6282531B1 (en) 1998-06-12 2001-08-28 Cognimed, Llc System for managing applied knowledge and workflow in multiple dimensions and contexts
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JP2002157282A (ja) * 2000-11-20 2002-05-31 Toshiba Corp 工数見積り方法及びその装置並びに記憶媒体
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US7069202B2 (en) * 2002-01-11 2006-06-27 Ford Global Technologies, Llc System and method for virtual interactive design and evaluation and manipulation of vehicle mechanisms
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0985992A2 (de) * 1998-09-08 2000-03-15 Ford Global Technologies, Inc. Gleichzeitige Herstellung und Produktentwurf integriert mit Wissensnetzwerken
EP0985992A3 (de) * 1998-09-08 2003-04-16 Ford Global Technologies, Inc. Gleichzeitige Herstellung und Produktentwurf integriert mit Wissensnetzwerken
WO2001052119A1 (en) * 2000-01-13 2001-07-19 Fabsec Limited Method of designing a structural element
GB2375857A (en) * 2000-01-13 2002-11-27 Fabsec Ltd Method of designing a structural element
GB2375857B (en) * 2000-01-13 2004-08-18 Fabsec Ltd Method of designing a structural element
AU780347B2 (en) * 2000-01-13 2005-03-17 Fabsec Limited Method of designing a structural element
ES2234350A1 (es) * 2001-05-23 2005-06-16 Honda Giken Kogyo Kabushiki Kaisha Sistema cad tridimensional y sistema de calculo del costo de piezas.
US7526358B2 (en) 2001-05-23 2009-04-28 Honda Giken Kogyo Kabushiki Kaisha Three-dimensional CAD system and part cost calculation system
US7596478B2 (en) 2001-09-26 2009-09-29 Fabsec Ltd. Method of forming a fire resistant structural beam

Also Published As

Publication number Publication date
DE69613095T2 (de) 2001-09-13
DE69613095D1 (de) 2001-07-05
US5748943A (en) 1998-05-05
CA2186181A1 (en) 1997-04-05
EP0789310A3 (de) 1997-09-17
EP0789310B1 (de) 2001-05-30

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